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  1. When working with Java objects in Python, especially if they are serialized (via ObjectOutputStream), you can deserialize them into Python objects and then convert them to strings using Python’s built-in functions. The javaobj-py3 library is a common choice for this task as it can parse Java serialized objects directly.

    Example: Deserialize a Java object and convert it to string

    import javaobj.v2 as javaobj

    # Load a serialized Java object from file
    with open("my_java_object.ser", "rb") as fd:
    py_obj = javaobj.load(fd) # Converts Java object to Python equivalent

    # Convert to string using str()
    string_repr = str(py_obj)
    print(string_repr)

    # For a more detailed representation
    detailed_repr = repr(py_obj)
    print(detailed_repr)
    Copied!

    In this example:

    • javaobj.load() reads the binary .ser file and returns a Python representation (e.g., dict, list, or custom object).

    • str() gives a user-friendly string, while repr() provides a debug-friendly detailed view.

    Alternative: Passing Java Objects via Jython If you are running Python code inside a Jython interpreter, you can pass Java objects directly without serialization. Example:

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